🎉 An awesome & curated list of best LLMOps tools.
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Updated
Sep 27, 2026 - Python
🎉 An awesome & curated list of best LLMOps tools.
Turn feature specs into merged PRs with a self-supervising swarm of coding agents — parallel execution, isolated sandboxes, DAG dependencies. Open-source, self-hostable, model-agnostic (Claude / Gemini / Codex).
Supercharge Claude Code with 109 specialized components — 22 agents, 32 commands, 55 skills across 13 modular plugins. Deep reasoning, autonomous dev loops, DDD architecture, design system enforcement, git automation, and more.
Mastery AI Apps Dev Workshop: Jumpstart your journey into AI-powered app development! This hands-on workshop guides you through building real-world applications using cutting-edge AI tools and cloud technologies. Perfect for beginners and enthusiasts eager to turn ideas into powerful solutions. Join us and master the future of app development!
Durable, project-owned memory for the reasoning behind your code. No cloud, no vendor lock-in.
Production-grade AI development workflows for every coding tool. Works with Claude Code, Cursor, Codex, Windsurf, Copilot CLI, Gemini CLI, and more.
Supervisor-worker multi-agent framework for AI system development. Orchestrates specialized agents through complete lifecycle: requirements → architecture → engineering → deployment. Supports Cursor IDE, GitHub Copilot, Claude Projects, AWS Bedrock.
ParseOS is an open-source initiative to advance automation at the OS level. We do not pay for research; instead, our focus is on creating value by helping students and professionals start strong in data science and machine learning. Our goal is to foster a positive shift in tech through collaboration and shared learning.
An AI assistant powered by Google Gemini to help you manage, create, and debug your programming projects.
🏰 883+ Universal Agentic Skills for Claude Code, Gemini CLI, Cursor & More — Curated by Rootcastle Engineering & Innovation (REI) | Batuhan Ayrıbaş
Auto-discovered DAG, pressure-aware context routing system for LLMs. Portable persistent contextual cognition across ChatGPT, Claude and other AI systems.
One command to make any repo agent-ready. Scaffolds .agent/ workspace, platform instruction files (Claude, Cursor, Windsurf, Copilot, Gemini), reusable skills, and MCP server for AI coding assistants.
A lightweight, Python CLI tool for transferring Claude Code sessions between machines.
Proactive context synthesis for AI coding agents. Build the right context before the first token.
Multi-Agent OS for Claude Code — 134 agents, 15 categories, local-first routing, 14 plugins, cost-aware orchestration
Stability-first operations CLI for long-running AI agent workspaces.
A collection of Claude Code plugins for research, security, code analysis, and workflow automation
Ready-to-use AI agents for OpenCode and Claude Code.
**The Compiler for AI-Generated Software** **LLMs don’t write code.** They write **intent**. Decodifier compiles that intent into working software.
Translates multi-file PHP projects to Python using LLM agents — trusts the difference, not the model.
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